Coder Social home page Coder Social logo

lowfield_maxgirf's Introduction

lowfield_maxgirf

This repository contains the code and datasets for "MaxGIRF: Image Reconstruction Incorporating Concomitant Field and Gradient Impulse Response Function Effects", by Nam G. Lee, Rajiv Ramasawmy, Yongwan Lim, Adrienne E. Campbell-Washburn, and Krishna S. Nayak.

Nam Gyun Lee, University of Southern California, Dec 2021.

ISMRMRD datasets

Example human and phantom datasets can be found on Zenodo:

  • Human: DOI
  • Phantom: DOI
  • Axial Cartesian spin-echo dataset

    • meas_MID00273_FID03656_se_15b130_tra.h5
    • noise_meas_MID00273_FID03656_se_15b130_tra.h5
  • Axial spiral spin-echo dataset

    • meas_MID00275_FID03658_se_spiral_1102_ax_s24.h5
    • noise_meas_MID00275_FID03658_se_spiral_1102_ax_s24.h5
  • Axial Cartesian GRE datasets for static off-resonance map estimation

    • meas_MID00276_FID03659_gre_TE1.h5
    • meas_MID00277_FID03660_gre_TE2.h5
    • meas_MID00278_FID03661_gre_TE3.h5
    • meas_MID00279_FID03662_gre_TE4.h5
    • meas_MID00280_FID03663_gre_TE5.h5
    • noise_meas_MID00276_FID03659_gre_TE1.h5
    • noise_meas_MID00276_FID03660_gre_TE2.h5
    • noise_meas_MID00276_FID03661_gre_TE3.h5
    • noise_meas_MID00276_FID03662_gre_TE4.h5
    • noise_meas_MID00276_FID03663_gre_TE5.h5
  • Sagittal Cartesian spin-echo dataset

    • meas_MID00258_FID03641_se_15b130.h5
    • noise_meas_MID00258_FID03641_se_15b130.h5
  • Sagittal spiral spin-echo dataset

    • meas_MID00260_FID03643_se_spiral_1102_sag_s24.h5
    • noise_meas_MID00260_FID03643_se_spiral_1102_sag_s24.h5
  • Sagittal Cartesian GRE datasets for static off-resonance map estimation

    • meas_MID00261_FID03644_gre_TE1.h5
    • meas_MID00262_FID03645_gre_TE2.h5
    • meas_MID00263_FID03646_gre_TE3.h5
    • meas_MID00264_FID03647_gre_TE4.h5
    • meas_MID00265_FID03648_gre_TE5.h5
    • noise_meas_MID00261_FID03644_gre_TE1.h5
    • noise_meas_MID00261_FID03645_gre_TE2.h5
    • noise_meas_MID00261_FID03646_gre_TE3.h5
    • noise_meas_MID00261_FID03647_gre_TE4.h5
    • noise_meas_MID00261_FID03648_gre_TE5.h5
  • Mat files containing a static off-resonance map obtained with NLINV estimation

    • B0map_nlinv_min1.0e-06_axial.mat
    • B0map_nlinv_min1.0e-06_sagittal_ro0.mat (ro := remove oversampling: 1=yes, 0=no)
    • B0map_nlinv_min1.0e-06_sagittal_ro1.mat

Once datasets are downloaded, organize datasets in this structure:

 |---path-to-dataset (e.g., D:\lowfield\NHLBI\data\20201102_NV_brain)
     |---meas_MID00260_FID03643_se_spiral_1102_sag_s24.h5
     |---meas_MID00275_FID03658_se_spiral_1102_ax_s24.h5
     |---noise_meas_MID00260_FID03643_se_spiral_1102_sag_s24.h5
     |---noise_meas_MID00275_FID03658_se_spiral_1102_ax_s24.h5
     |---B0map_nlinv_min1.0e-06_axial.mat
     |---B0map_nlinv_min1.0e-06_sagittal_ro0.mat
     |---B0map_nlinv_min1.0e-06_sagittal_ro1.mat

Figure 3 (numerical simulation)

Update variables src_directory and mida_directory in figure3\demo_2d_spiral_simulation.m.

src_directory = 'path-to-this-package';
mida_directory = 'path-to-this-package\thirdparty\MIDA_v1.0\MIDA_v1_voxels';

Run figure3\demo_batch_2d_spiral_simulation.m

Run figure3\demo_generate_figure3.m to generate Figure 3.

Figures 5 and 6 (human axial spiral spin-echo imaging)

Update variables in demo_non_cartesian_recon_human_axial.m.

src_directory          = 'path-to-this-package';
ismrmrd_directory      = 'path-to-ISMRMRD-package';
ismrmrd_noise_fullpath = 'path-to-dataset\noise_meas_MID00275_FID03658_se_spiral_1102_ax_s24.h5';
ismrmrd_data_fullpath  = 'path-to-dataset\meas_MID00275_FID03658_se_spiral_1102_ax_s24.h5';
siemens_dat_fullpath   = 'path-to-dataset\meas_MID00275_FID03658_se_spiral_1102_ax_s24.dat';
B0map_fullpath         = 'path-to-dataset\B0map_nlinv_min1.0e-06_axial.mat';

Run demo_non_cartesian_recon_human_axial.m.

Run demo_cartesian_recon_SE_axial.m.

Figures 7 and 8 (human sagittal spiral spin-echo imaging)

Update variables in demo_non_cartesian_recon_human_sagittal.m.

src_directory          = 'path-to-this-package';
ismrmrd_directory      = 'path-to-ISMRMRD-package';
ismrmrd_noise_fullpath = 'path-to-dataset\noise_meas_MID00260_FID03643_se_spiral_1102_sag_s24.h5';
ismrmrd_data_fullpath  = 'path-to-dataset\meas_MID00260_FID03643_se_spiral_1102_sag_s24.h5';
siemens_dat_fullpath   = 'path-to-dataset\meas_MID00260_FID03643_se_spiral_1102_sag_s24.dat';
B0map_fullpath         = 'path-to-dataset\B0map_nlinv_min1.0e-06_sagittal_ro0.mat';

Run demo_non_cartesian_recon_human_sagittal.m.

Run demo_cartesian_recon_SE_sagittal.m.

Run figures7&8\demo_generate_figure7.m and figures7&8\demo_generate_figure8.m to generate Figures 7 and 8, respectively.

lowfield_maxgirf's People

Contributors

namgyunlee avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.